class_docstr: Physical Interaction QA.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      extracted_path = dl_manager.download_and_extract(_PIQA_URL)
  
      # Specify the splits
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "data_path": os.path.join(
                      extracted_path,
                      "physicaliqa-train-dev/train.jsonl",
                  ),
                  "label_path": os.path.join(
                      extracted_path,
                      "physicaliqa-train-dev/train-labels.lst",
                  ),
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "data_path": os.path.join(
                      extracted_path, "physicaliqa-train-dev/dev.jsonl"
                  ),
                  "label_path": os.path.join(
                      extracted_path,
                      "physicaliqa-train-dev/dev-labels.lst",
                  ),
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/piqa/piqa_dataset_builder.py
imports: import json
  import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list